Adaptive Beamforming via Desired Signal Robust Removal for Interference-Plus-Noise Covariance Matrix Reconstruction
Sign Up to like & getrecommendations! Published in 2021 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01481-z
Abstract: To tackle the problem of the desired signal (DS) steering vector mismatch, especially in the situation of direction-of-arrival error and array perturbations, a robust interference-plus-noise covariance matrix (INCM) reconstruction method based upon DS removal is… read more here.
Keywords: plus noise; matrix; covariance matrix; desired signal ... See more keywords
Improved noise covariance estimation in visual servoing using an autocovariance least-squares approach
Sign Up to like & getrecommendations! Published in 2020 at "Mechatronics"
DOI: 10.1016/j.mechatronics.2020.102381
Abstract: Abstract Position based visual servoing is a widely adopted tool in robotics and automation. While the extended Kalman filter (EKF) has been proposed as an effective technique for this, it requires accurate noise covariance matrices… read more here.
Keywords: least squares; autocovariance least; noise covariance; visual servoing ... See more keywords
Design of parallel adaptive extended Kalman filter for online estimation of noise covariance
Sign Up to like & getrecommendations! Published in 2019 at "Aircraft Engineering and Aerospace Technology"
DOI: 10.1108/aeat-01-2018-0066
Abstract: Purpose The successful use of the standard extended Kalman filter (EKF) is restricted by the requirement on the statistics information of the measurement noise. The covariance of the measurement noise may deviate from its nominal… read more here.
Keywords: extended kalman; covariance; kalman filter; noise covariance ... See more keywords
An Intelligent Adaptive Kalman Filter for Integrated Navigation Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3040433
Abstract: This paper presents an intelligent adaptive Kalman filter based on deep neural network and fuzzy logic for integrated navigation systems. The highlight is that the process noise covariance is obtained by analyzing inertial sensors’ output… read more here.
Keywords: integrated navigation; intelligent adaptive; kalman filter; navigation systems ... See more keywords
Robust Gaussian Approximate Fixed-Interval Smoother With Outlier Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3015422
Abstract: We consider that existing nonlinear state estimators cannot always yield a satisfactory performance when the distribution of the measurement noise deviates from the assumed Gaussian distribution. This letter investigates the non-linear robust fixed-interval smoothing problem… read more here.
Keywords: process noise; covariance matrix; noise covariance; distribution ... See more keywords
Process Noise Covariance Design in Kalman Filtering via Bounds Optimization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2018.2838440
Abstract: This note presents new results on the design of the process noise covariance matrix in Kalman filtering. The proposed design belongs to the realm of worst case methods: the optimal covariance is sought such as… read more here.
Keywords: kalman; design; process noise; noise covariance ... See more keywords
Self-Tuning Unbiased Finite Impulse Response Filtering Algorithm for Processes With Unknown Measurement Noise Covariance
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2020.2991609
Abstract: An unbiased finite impulse response (UFIR) filtering algorithm is designed in the discrete-time state–space for industrial processes with unknown measurement data covariance. By assuming an inverse-Wishart distribution, the data noise covariance is recursively estimated using… read more here.
Keywords: tex math; covariance; inline formula; noise covariance ... See more keywords
The Fine Calibration of the Ultra-Short Baseline System With Inaccurate Measurement Noise Covariance Matrix
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3132351
Abstract: The ultra-short baseline (USBL) system has been widely applied in marine positioning fields because of its small size and high positioning accuracy. However, there are particular position and angle deviations between the body frame and… read more here.
Keywords: system; calibration; noise covariance; error ... See more keywords
Collaborative Sequential State Estimation Under Unknown Heterogeneous Noise Covariance Matrices
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.3023823
Abstract: We study the problem of distributed sequential estimation of common states and measurement noise covariance matrices of hidden Markov models by networks of collaborating nodes. We adopt a realistic assumption that the true covariance matrices… read more here.
Keywords: estimation; covariance matrices; noise covariance; collaborative sequential ... See more keywords
Performance evaluation of a novel adaptive variable structure state estimator
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"
DOI: 10.1177/09544100221103328
Abstract: An improved nonlinear adaptive state estimator called Adaptive Smooth Variable Structure Filter ASVSF has been proposed and its algorithm described. ASVSF extends the functionality and performance of a previously reported robust smooth variable structure filter… read more here.
Keywords: performance; variable structure; noise covariance; process noise ... See more keywords